Guide to Connectomes

Connectomes.ConnectomeType
Connectome(path::String; norm=true)

Main type introduced by Connectomes.jl,

struct Connectome
    parc::DataFrame
    graph::SimpleWeightedGraph{Int64, Float64}
    n_matrix::Matrix{Float64}
    l_matrix::Matrix{Float64}
end

where parc is the parcellation atlas, graph is a SimpleWeightedGraph encoding a weighted Connectome, n_matrix is the length matrix and l_matrix is the length matrix.

Example

julia> filter(Connectome(Connectomes.connectomepath()), 1e-2)
Parcellation: 
83×8 DataFrame
 Row │ ID     Label                 Region       Hemisphere  x          y           z            Lobe      
     │ Int64  String                String       String      Float64    Float64     Float64      String    
─────┼─────────────────────────────────────────────────────────────────────────────────────────────────────
   1 │     1  lateralorbitofrontal  cortical     right        25.0057    33.4625    -16.6508     frontal
   2 │     2  parsorbitalis         cortical     right        43.7891    41.4659    -11.8451     frontal
   3 │     3  frontalpole           cortical     right         9.59579   67.3442     -8.94211    frontal
   4 │     4  medialorbitofrontal   cortical     right         5.799     40.7383    -15.7166     frontal
   5 │     5  parstriangularis      cortical     right        48.3993    31.8555      5.60427    frontal
  ⋮  │   ⋮             ⋮                 ⋮           ⋮           ⋮          ⋮            ⋮           ⋮
  80 │    80  Left-Accumbens-area   subcortical  left         -8.14103   11.416      -6.32051    subcortex
  81 │    81  Left-Hippocampus      subcortical  left        -25.5001   -22.6622    -13.6924     temporal
  82 │    82  Left-Amygdala         subcortical  left        -22.7183    -5.11994   -18.8364     temporal
  83 │    83  brainstem             subcortical  none         -6.07796  -31.5015    -32.8539     subcortex
                                                                                            74 rows omitted
Adjacency Matrix: 
83×83 SparseArrays.SparseMatrixCSC{Float64, Int64} with 392 stored entries:
⣮⢛⣣⡠⠀⠀⠀⠀⠀⠀⠀⡁⠀⠀⠠⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠉⡺⢺⠒⣒⠄⢀⠀⠀⠀⠀⠄⠀⠀⠀⠀⠂⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠘⠜⠚⣠⣐⡐⠀⠀⣀⡄⠀⠀⠀⠀⠀⠈⠂⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠐⢐⠸⢴⡳⡄⠌⠁⠀⠀⠀⠀⠀⠀⠀⠀⠀⠂⠀⠀⠀⠀⠀⠀⠀
⠀⠀⠀⠀⠀⠀⡀⠍⠯⡧⡄⠀⠀⠇⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀
⠄⠠⠀⠄⠀⠼⠁⠀⠀⠉⠯⡣⣄⠄⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠄
⠀⠀⠀⠀⠀⠀⠀⠀⠤⠄⠀⠝⠏⠅⣀⣀⠀⠀⠀⠀⠀⠀⠀⠀⢀⠀⠀⠁
⠀⠂⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⡎⡭⡦⠂⠀⠀⠀⠀⠀⠀⠠⠀⠀⠀
⠀⠀⠈⠠⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠨⠋⡏⡩⡕⠀⠄⠀⠀⠐⠐⠀⠀⠀
⠀⠀⠀⠀⠈⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠑⠉⠡⡦⢥⠁⠀⢰⠶⠀⠀⠀
⠀⠀⠀⠀⠀⠀⠈⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠁⠅⠓⢯⣳⣐⠂⠀⠀⢀⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⠀⢀⣀⠰⠘⢺⣲⣀⠀⠘⠀
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠐⠀⠂⠐⠀⠘⠃⠀⠀⠀⠘⢪⣲⣔⡂
⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠄⠄⠀⠀⠀⠀⠀⠀⠀⠀⠐⠒⠀⠰⠹⠐⠀
source

Plotting Example

using JSServe
Page(exportable=true, offline=true)
using WGLMakie
using Connectomes

plot_cortex()